Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B (Reasoning) is clearly ahead on the aggregate, 60 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B (Reasoning)'s sharpest advantage is in multimodal & grounded, where it averages 71.5 against 45.2. The single biggest benchmark swing on the page is MMMU-Pro, 71 to 38.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Nemotron 3 Nano 30B is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Ministral 3 14B (Reasoning) gives you the larger context window at 128K, compared with 32K for Nemotron 3 Nano 30B.
Pick Ministral 3 14B (Reasoning) if you want the stronger benchmark profile. Nemotron 3 Nano 30B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 14B (Reasoning)
58.5
Nemotron 3 Nano 30B
39.6
Ministral 3 14B (Reasoning)
35
Nemotron 3 Nano 30B
22
Ministral 3 14B (Reasoning)
71.5
Nemotron 3 Nano 30B
45.2
Ministral 3 14B (Reasoning)
69.2
Nemotron 3 Nano 30B
54
Ministral 3 14B (Reasoning)
52.1
Nemotron 3 Nano 30B
43.8
Ministral 3 14B (Reasoning)
81
Nemotron 3 Nano 30B
78
Ministral 3 14B (Reasoning)
77.8
Nemotron 3 Nano 30B
71.8
Ministral 3 14B (Reasoning)
75.2
Nemotron 3 Nano 30B
63.7
Ministral 3 14B (Reasoning) is ahead overall, 60 to 45. The biggest single separator in this matchup is MMMU-Pro, where the scores are 71 and 38.
Ministral 3 14B (Reasoning) has the edge for knowledge tasks in this comparison, averaging 52.1 versus 43.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for coding in this comparison, averaging 35 versus 22. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for math in this comparison, averaging 75.2 versus 63.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for reasoning in this comparison, averaging 69.2 versus 54. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for agentic tasks in this comparison, averaging 58.5 versus 39.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 71.5 versus 45.2. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for instruction following in this comparison, averaging 81 versus 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 77.8 versus 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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